This paper applies a partial equilibrium model to analyze the fiscal revenue implications of the prospective economic partnership agreement between the Economic Community of West African States (ECOWAS) and the European Union. The authors find that, under standard import price and substitution...

The paper analyzes how the UNDP, the World Bank, and the IMF classify countries based on their level of development. These systems are found lacking in clarity with regard to their underlying rationale. The paper argues that a country classification system based on a transparent, data-driven...

The paper provides estimates of global relative poverty trends from 1970 onwards. Relative poverty is shown to have decreased significantly, but at the same time there has been a worsening poverty outcome among up to one billion of the world''s poorest citizens. The paper also proposes a...

This paper applies a partial equilibrium model to analyze the fiscal revenue implications of the prospective economic partnership agreement between the Economic Community of West African States (ECOWAS) and the European Union. The authors find that, under standard import price and substitution...

The paper provides estimates of global relative poverty trends from 1970 onwards. Relative poverty is shown to have decreased significantly, but at the same time there has been a worsening poverty outcome among up to one billion of the world's poorest citizens. The paper also proposes a...

The paper analyzes how the United Nations Development Programme, the World Bank, the International Monetary Fund and the World Trade Organization classify countries based on their level of development. These systems are found lacking in clarity with regard to their underlying rationale. The...

The paper analyzes how the UNDP, the World Bank, and the IMF classify countries based on their level of development. These systems are found lacking in clarity with regard to their underlying rationale. The paper argues that a country classification system based on a transparent, data-driven...